dataset-discovery
Multi-source ML dataset discovery. Search HuggingFace Hub, OpenML, GitHub, and paper cross-references for datasets relevant to a research task. Use when asked to "find datasets for", "search ML datasets", "what datasets exist for", or "discover training data for".
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Low
Low-risk findings worth noting
W011: Third-party content exposure detected (indirect prompt injection risk).
What this means
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Why it was flagged
The workflow reads GitHub repositories and issues/PR search results, HuggingFace dataset metadata/descriptions, and Semantic Scholar paper abstracts, which are outsider-authored sources.
- Repository
- OpenLAIR/dr-claw
- Commit
d51b64e
- Audited
- Security analysis
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